X. Degree Programs
Bachelor of Science (B.Sc.)
Statistics (STAT)
Department of Mathematics and Statistics, College of Physical and Engineering Science.
Students in this program will acquire the ability to use modern statistical methods in a variety of applications, the theoretical understanding necessary to develop statistical methods to meet new needs and a solid preparation for further study. As well, since statistical computing is a fundamental tool for the application and development of modern statistical methods, students will develop skills in computer applications programming using such high-level languages as SAS and S-PLUS.
Students may enter this major in Semester 1 or any semester thereafter. A student wishing to declare the major must consult the Faculty Advisor. A total of 20.00 credits is required to complete the major which includes at least 10.00 credits in Statistics and Mathematics, 2.00 of which must be at the 4000 level. At least 1.00 credit in Arts and Social Science must be completed.
Major (Honours Program)
Semester 1
BIOL*1030
|
[0.50] |
Biology I |
CHEM*1040
|
[0.50] |
General Chemistry I |
MATH*1200
|
[0.50] |
Calculus I |
PHYS*1000
|
[0.50] |
An Introduction to Mechanics |
CIS*1500
|
[0.50] |
Introduction to Programming |
Students who are admitted deficient in one OAC/4U course in Biology, Chemistry or Physics must take the equivalent introductory course in first semester. The first-year science core in that subject should be completed by Semester 3. |
Semester 2
BIOL*1040
|
[0.50] |
Biology II |
CHEM*1050
|
[0.50] |
General Chemistry II |
MATH*1210
|
[0.50] |
Calculus II |
PHYS*1010
|
[0.50] |
Introductory Electricity and Magnetism |
0.50 Arts or Social Science elective |
Semester 3
MATH*2200
|
[0.50] |
Advanced Calculus I |
0.50 Arts or Social Science elective |
0.50 elective |
One of: |
MATH*2150
|
[0.50] |
Applied Matrix Algebra |
MATH*2160
|
[0.50] |
Linear Algebra I |
One of: |
STAT*2040
|
[0.50] |
Statistics I |
STAT*2100
|
[0.50] |
Introductory Probability and Statistics |
Semester 5
STAT*3100
|
[0.50] |
Introductory Mathematical Statistics I |
STAT*3240
|
[0.50] |
Applied Regression Analysis |
1.50 electives |
Semester 6
STAT*3110
|
[0.50] |
Introductory Mathematical Statistics II |
STAT*3210
|
[0.50] |
Experimental Design |
0.50 3000 or 4000 level Statistics or Mathematics * |
1.00 elective |
Semester 7
STAT*4080
|
[0.50] |
Data Analysis |
0.50 from a 4000 level Statistics or Mathematics * |
1.50 electives |
Semester 8
STAT*3320
|
[0.50] |
Sampling Theory with Applications |
STAT*4340
|
[0.50] |
Statistical Inference |
1.00 from a 3000 or 4000 level Statistics * |
0.50 elective |
*a Statistics major must include 2.00 or more credits in Statistics at the 4000 level (which may include MATH*4070, MATH*4240) and must include at least 6.00 credits at the 3000 or 4000 level from the B.Sc. Program Committee approved list of science electives
Minor (Honours Program)
A total of 5.00 credits in Statistics and Mathematics is required to complete the Minor, at least 3.00 credits of which are in Statistics and at least 1.50 in Mathematics. The required courses are:
MATH*1200
|
[0.50] |
Calculus I |
MATH*1210
|
[0.50] |
Calculus II |
STAT*2050
|
[0.50] |
Statistics II |
STAT*3100
|
[0.50] |
Introductory Mathematical Statistics I |
STAT*3110
|
[0.50] |
Introductory Mathematical Statistics II |
STAT*3240
|
[0.50] |
Applied Regression Analysis |
1 of: |
MATH*2150
|
[0.50] |
Applied Matrix Algebra |
MATH*2160
|
[0.50] |
Linear Algebra I |
1 of: |
STAT*2040
|
[0.50] |
Statistics I |
STAT*2100
|
[0.50] |
Introductory Probability and Statistics |
To complete the minor it is recommended to take courses from: |
STAT*3210
|
[0.50] |
Experimental Design |
STAT*3320
|
[0.50] |
Sampling Theory with Applications |
STAT*4080
|
[0.50] |
Data Analysis |
STAT*4350
|
[0.50] |
Applied Multivariate Statistical Methods |
Note: Students are strongly urged to take mathematics courses as electives such as: |
MATH*2130
|
[0.50] |
Numerical Methods |
MATH*2200
|
[0.50] |
Advanced Calculus I |
MATH*3240
|
[0.50] |
Operations Research |
|